A team of UK specialists has developed an artificial intelligence model that can detect cancer at an early stage, enabling faster diagnosis and treatment. The experts, which include doctors, scientists, and researchers, used CT scans of about 500 patients with large lung nodules to create an AI algorithm using the radiomics technique. This technique can detect vital information in medical images, making it more effective than human interpretation.
The results, published in the Lancet journal eBioMedicine, showed that the algorithm is able to detect cancer in lung nodules more effectively than current methods. According to Dr. Benjamin Hunter, the model could improve early detection of cancer and make treatment more effective by highlighting high-risk patients and speeding up their intervention.
Despite these results, the scientists noted that more testing is needed before the model can be introduced into health systems. Dr. Richard Lee, another of the researchers, explained that the study is the first to develop a radiomic model specifically focused on large lung nodules. And he concluded that the model could help doctors identify high-risk patients in the near future.
In summary, the AI algorithm designed by a team of specialists in the United Kingdom is a tool that could improve early detection of cancer and allow for more effective and rapid treatment. The radiomics technique used by the model is more effective than human interpretation and could identify high-risk patients. However, more tests are required before the model can be used in health systems.
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